Spatiotemporal stability patterns of ecosystem service bundles and their driving factors in Hunan Province, China.

Integrated management of ecosystem services through ecosystem service bundles (ESBs) is increasingly recognized as one of the most promising approaches for optimizing ecosystem services. Understanding the spatiotemporal dynamics of ESBs is critical for developing precise and adaptive regional ecosystem management strategies. However, most existing studies focus on the static identification of ESBs, with limited attention to the long-term stability and underlying drivers.

[Advances in multimodal biomedical imaging of small animals].

Small animal multimodal biomedical imaging refers to the integration of multiple imaging techniques within the same system or device to acquire comprehensive physiological and pathological information of small animals, such as mice and rats. With the continuous advancement of biomedical research, this cutting-edge technology has attracted extensive attention. Multimodal imaging techniques, based on diverse imaging principles, overcome the limitations of single-modal imaging through information fusion, significantly enhancing the overall system's sensitivity, temporal/spatial resolution, and quantitative accuracy.

The urea-creatinine ratio on the seventh day predicts the short-term prognosis of spontaneous intracerebral hemorrhage: a retrospective study.

Background And Objectives: This study aimed to investigate the association between hydration status and 90-day functional outcomes in patients with spontaneous intracerebral hemorrhage (SICH).

Methods: We conducted a retrospective analysis of 215 SICH patients admitted to the Neurology Department of the First Affiliated Hospital of Chongqing Medical University between January 2021 and September 2023. Demographic characteristics, imaging findings, and laboratory parameters were collected.

MG-UNet: multi-scale convolutional gate-based network for background-removal imaging in fluorescence microscopy.

Fluorescence microscopy is indispensable in biological and medical research for its ability to provide detailed visualization of tissue and cellular structures. However, wide-field fluorescence microscopy often suffers from out-of-focus blur and background emission, degrading image clarity and axial resolution. To address this limitation, we propose multiscale convolutional gated UNet (MG-UNet), a novel deep neural network designed to enhance wide-field fluorescence images by learning the high contrast and sharpness features of confocal microscopy.

(3+1)-dimensional Airyprime-Laguerre-Gaussian wave packets in strongly nonlocal nonlinear media.

In this work, we study (3+1)-dimensional Airyprime-Laguerre-Gaussian (ALG) wave packets in strongly nonlocal nonlinear media. We investigate the effects of distribution factor, cross-phase factor, power ratio, and nonlocal degree on ALG wave packets. Noteworthy, spatiotemporal ALG wave packets show different transverse shapes, such as triple-peaked, doughnut, and elliptic shapes, while the temporal distribution is like a spindle shape.

PEELing: an integrated and user-centric platform for spatially resolved proteomics data analysis.

Summary: Molecular compartmentalization is vital for cellular physiology. Spatially resolved proteomics allows biologists to survey protein composition and dynamics with subcellular resolution. Here, we present PEELing, an integrated package and user-friendly web service for analyzing spatially resolved proteomics data.

Lipoprotein(a) elevation independently associates with incident atrial fibrillation irrespective of inflammatory status.

Background: Atrial fibrillation (AF) significantly increases stroke, heart failure, and mortality risk. Elevated lipoprotein(a) (Lp[a]) is implicated in AF pathogenesis, but its relationship with systemic inflammation (assessed by high-sensitivity C-reactive protein [hs-CRP]) remains unclear.

Objective: We investigated whether the Lp(a)-AF association is independent of baseline inflammatory status.

Genome-wide CRISPR screen reveals key role of sialic acids in PEDV and porcine coronavirus infections.

Porcine epidemic diarrhea virus (PEDV) is a globally distributed alphacoronavirus with economic importance that can cause severe watery diarrhea and even death in piglets. To identify host factors essential for PEDV infection, we performed a genome-wide CRISPR/Cas9 screen in human hepatocellular carcinoma cells (Huh7) using the highly virulent PEDV GIIb strain GDU. Several genes involved in the sialic acid and heparan sulfate biosynthesis pathway and cholesterol metabolism were highly enriched following PEDV selection.

High-fidelity tissue super-resolution imaging achieved with confocal spinning-disk image scanning microscopy.

Super-resolution imaging has revolutionized our ability to visualize biological structures at subcellular scales. However, deep-tissue super-resolution imaging remains constrained by background interference, which leads to limited depth penetration and compromised imaging fidelity. To overcome these challenges, we propose a novel imaging system, confocal² spinning-disk image scanning microscopy (CSD-ISM).

A Review of Mechanical Performance Studies on Composite Concrete Beams and Slabs.

This paper reviews the applications and performance advantages of ultra-high-performance concrete (UHPC), engineered cementitious composite (ECC), and recycled aggregate concrete (RAC) in composite flexural members. UHPC is characterized by its ultra-high strength, high toughness, excellent durability, and microcrack self-healing capability, albeit with high costs and complex production processes. ECC demonstrates superior tensile, flexural, and compressive strength and durability, yet it exhibits a lower elastic modulus and greater drying shrinkage strain.

The Impact of PET Imaging on Translational Medicine: Insights from Large-Animal Disease Models.

Large-animal models are playing a pivotal role in bridging the translational research gap. Positron emission tomography (PET) imaging is preferred in disease research involving large-animal models. Its ability to non-invasively monitor metabolic activity, receptor-ligand interactions, and pharmacokinetics in real time makes PET imaging an essential tool for evaluating therapeutic efficacy and advancing the development of targeted treatments.

The Role of Traditional Chinese Medicine in Targeting NF-[Formula: see text]B Ubiquitination Against Ischemic Stroke.

Ischemic Stroke (IS) is a severe neurological disease with high mortality rates worldwide, involving a complex cascade reaction in which the ubiquitination process of nuclear factor kappa B (NF-[Formula: see text]B) pathway has been proposed as a therapeutic target for IS on account of the fact that NF-[Formula: see text]B can be suppressed by the Ubiquitin-Proteasome System (UPS). This review systematically discusses the epidemiology of IS, the NF-[Formula: see text]B signaling pathway, and the anti-inflammatory and anti-apoptotic effects that TCM monomers and formulations exert by regulating the ubiquitination process of the NF-[Formula: see text]B signaling pathway. We initially offer an overview of the incidence and treatment of IS, following which the canonical pathway and non-canonical pathway of NF-[Formula: see text]B are introduced.

Influence of Obstacles on the Vented Hydrogen Deflagration in an Explosion Tube.

The experiments and simulations of vented hydrogen-air mixture explosions in the tube are investigated with the influence of the obstacle. The internal pressure curves of different hydrogen concentrations are analyzed in the presence of an obstacle. The internal overpressure has two obvious overpressure peaks without an obstacle.

Cellular optical imaging techniques: a dynamic advancing frontier.

This article reviews recent super-resolution (SR) optical imaging techniques for cellular study, encompassing structured illumination microscopy (SIM), point-scanning super-resolution (PS-SR) microscopy, single-molecule localization microscopy (SMLM), mathematical and deep learning (DL) SR algorithms. Historically, the resolution of traditional far-field optical imaging was constrained by the diffraction limit. The emergence of SR imaging techniques and image processing algorithms has propelled biological research into nanoscale realm.

Trustworthy Visual-Textual Retrieval.

Visual-textual retrieval, as a link between computer vision and natural language processing, aims at jointly learning visual-semantic relevance to bridge the heterogeneity gap across visual and textual spaces. Existing methods conduct retrieval only relying on the ranking of pairwise similarities, but they cannot self-evaluate the uncertainty of retrieved results, resulting in unreliable retrieval and hindering interpretability. To address this problem, we propose a novel Trust-Consistent Learning framework (TCL) to endow visual-textual retrieval with uncertainty evaluation for trustworthy retrieval.

A gentle palette of plasma membrane dyes.

Plasma membrane (PM) stains are important organelle markers for monitoring membrane morphology and dynamics. The state-of-the-art PM stains are bright, specific, fluorogenic, and compatible with superresolution imaging. However, when recording membrane dynamics using advanced fluorescence microscopes, PM is prone to photodynamic damage introduced by dyes due to its phospholipid bilayer nature.

Breakthroughs in diabetic retinopathy diagnosis and treatment using preclinical research models: current progress and future directions.

Diabetic retinopathy (DR), a severe microvascular complication of diabetes mellitus, poses a significant global health threat with its rising prevalence amidst the diabetes pandemic. As the leading cause of vision impairment and blindness among working-age diabetic adults, DR highlights the urgent need for innovative diagnostic methods and effective therapeutic strategies. Early detection and prompt intervention are crucial for mitigating DR's devastating consequences.

Modulatory Role of Hesperetin-Copper(II) on Gut Microbiota in Type 2 Diabetes Mellitus Mice.

Background: Exploring new strategies to improve type 2 diabetes mellitus (T2DM) is one of the frontier hotspots in the field of healthy food. Flavonoid-metal complexes have become one of the research hotspots in the field of health foods due to their unique structural and functional properties.

Methods: In this study, the effect of hesperetin-copper(II) complex [Hsp-Cu(II)] on the gut microbiota of mice with T2DM was investigated by the 16S rRNA high-throughput sequencing.

PNEUMONIA AS A CAUSE OF MORTALITY IN JUVENILE AND ADULT RED PANDAS () IN CHENGDU, CHINA.

The red panda () is an endangered herbivorous mammal, with wild populations distributed in the Himalaya-Hengduan Mountains. Published scientific work indicates that pneumonia is still an important cause of death in ex situ populations of red pandas, particularly in neonates. This retrospective study used historical necropsy records, systematic necropsies, and pathogen detection methods to identify histopathologic patterns and pathogens in red pandas that had died with fatal respiratory disease at the Chengdu Research Base of Giant Panda Breeding, China, from 2014 to 2020.

Temperature and Biodiversity Regulate the Robustness of Plant-Microbe Networks in Natural Forests at Large Scale.

The latitudinal diversity gradient (LDG) is one of the general ecological patterns and has been extensively studied in plant and microbial communities. However, whether plant-microbe networks follow latitudinal trends and the underlying mechanisms driving such patterns remain largely unknown. In this study, we used an ecological survey dataset with simultaneously investigated plant species and microbial data from 26 forests at a continental scale and constructed the plant-microbe networks for each forest across the latitude gradients.

Design of a Universal Backbone Improving the Endonuclease Dependence Molecular Beacon Assay.

The endonuclease dependence molecular beacon assay (DEMBA) is an isothermal detection method celebrated for its high sensitivity, operational ease, and time-saving capabilities. However, the intricate design of the probes limits the extensive application of DEMBA. The main challenge is the requirement for the probe sequence to include restriction endonuclease sites, two target sequence binding sites, and self-binding sites, which frequently overlap.

Promoter Hyper-methylation of ZNF662 Restrains its Tumor Suppressing Function in Triple-Negative Breast Cancer Through Regulating NGF Signaling Axis.

Triple-negative breast cancer (TNBC) has the highest mortality rate among common cancers in women. Thus, the identification of new therapeutic targets is of major significance. Our study identifies ZNF662 as a novel member of KRAB-containing zinc finger proteins (KRAB-ZFPs) family in TNBC.

NKAPL suppresses NSCLC progression by enhancing the protein stability of TRIM21 and further inhibiting the NF-κB signaling pathway.

Non-small cell lung cancer (NSCLC) remains a leading cause of mortality in the clinic. Previous studies have demonstrated that the NF-kappa-B activating protein like (NKAPL) is positively correlated with prognosis in several types of cancers. However, the role of NKAPL in the progression of NSCLC remains unclear.

Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams.

Data stream clustering reveals patterns within continuously arriving, potentially unbounded data sequences. Numerous data stream algorithms have been proposed to cluster data streams. The existing data stream clustering algorithms still face significant challenges when addressing high-dimensional data streams.